Data Engineer, Finance at RSM US LLP in Chicago

Summary: RSM US LLP is a leading provider of professional services to the middle market globally, empowering clients and people to realize their full potential. The Data Engineer will work closely with stakeholders to ensure data accessibility for business analytics and improve Finance operations through scalable data solutions. Responsibilities: - Create and apply data design standards and assist in maintaining and documenting our Finance data solutions that support reporting, visualizations, and data analytics across our business - Improve upon ongoing reporting and analytics processes, support data integration automation to simplify self-service for Bl customers - Assist in administration of the Bl data integration and reporting environments including data connectivity, system performance, and security - Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives - Other duties as assigned Required Qualifications: - Bachelor's degree or similar education or experience - Experience with data platforms like Databricks - Proficiency in SQL required - Understanding of relational database concepts required - Strong communication skills, both written and verbal Preferred Qualifications: - Experience with Python preferred - API integration and/or development understanding preferred - 1+ years in a reporting/data analytics-related role preferred - Experience collecting data requirements preferred - Reporting environment administration experience preferred - Efficient with data pipelines to ingest, transform, and load data from multiple sources preferred - Good communication skills with and the passion to learn to support data flow across an enterprise with good data practices is preferred Required Skills: Databricks, SQL, Python, Relational database concepts, API integration, Data requirements collection, Reporting environment administration, Data pipelines, Data design standards, Data analytics Benefits: Discretionary bonus based on firm and individual performance